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morning-check早上检查

Agent Skill

morning-check 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,077

周安装

44

GitHub Stars

115

下载量

345
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:morning-check(早上检查)
来源仓库:https://github.com/vishalsachdev/canvas-mcp
仓库路径:skills/morning-check
安装命令:
npx skills add https://github.com/vishalsachdev/canvas-mcp --skill morning-check
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/vishalsachdev/canvas-mcp --skill morning-check

简介

用于查找、检索和筛选相关信息,适合快速定位候选结果。

  • 可根据关键词、任务场景或来源线索进行信息定位与筛选。
  • 建议结合原始 README 和仓库内容进一步验证具体用法。
  • 安装前需确认是否会触发联网、命令执行或文件读写等操作。
  • morning-check 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Canvas Morning Check

Get a comprehensive status report for your courses at the start of the day or week. Identifies students who need support and upcoming deadlines.

Prerequisites

  • Canvas MCP server must be running
  • User must have educator/instructor role in Canvas
  • For FERPA compliance, ENABLE_DATA_ANONYMIZATION=true should be set

Steps

1. Identify Target Course(s)

Ask the user which course(s) to check, or check all active courses:

Which course would you like to check? (Or say "all" for all your courses)

If user specifies a course, use that course identifier. If "all", iterate through active courses.

2. Get Recent Assignment Submissions

For each target course, use list_assignments to find assignments due in the past 7 days, then use get_assignment_analytics for each:

Data to collect:

  • Submission rate (submitted / enrolled)
  • Average score
  • High/low scores
  • Late submission count

3. Identify Struggling Students

Use list_submissions to find students missing multiple assignments:

Flag students who:

  • Are missing 2+ assignments in the past 2 weeks
  • Have submitted late more than twice
  • Have average grade below 70%

Group by urgency:

  • Critical: Missing 3+ assignments or grade below 60%
  • Needs attention: Missing 2 assignments or grade 60-70%
  • On track: All submissions current, grade above 70%

4. Check Upcoming Deadlines

Use list_assignments filtered to next 7 days:

Show:

  • Assignment name
  • Due date/time
  • Point value
  • Current submission count (if submissions have started)

5. Generate Status Report

Output a structured report:

## Course Status: [Course Name]

### Submission Overview
| Assignment | Due Date | Submitted | Rate | Avg Score |
|------------|----------|-----------|------|-----------|
| Quiz 3     | Dec 20   | 28/32     | 88%  | 85.2      |
| Essay 2    | Dec 22   | 25/32     | 78%  | --        |

### Students Needing Support
**Critical (3+ missing):**
- Student_a8f7e23 (missing: Quiz 3, Essay 2, HW 5)

**Needs Attention (2 missing):**
- Student_c9b21f8 (missing: Essay 2, HW 5)
- Student_d3e45f1 (missing: Quiz 3, Essay 2)

### Upcoming This Week
- **Dec 26:** Final Project (100 pts) - 5 submitted so far
- **Dec 28:** Discussion 8 (20 pts)

### Suggested Actions
1. Send reminder to 3 students with critical status
2. Review Essay 2 submissions (78% rate, below average)
3. Post announcement about Final Project deadline

6. Offer Follow-up Actions

After presenting the report, offer:

Would you like me to:
1. Draft a message to struggling students
2. Send reminders about upcoming deadlines
3. Get detailed analytics for a specific assignment
4. Check another course

Example Usage

User: "Morning check for CS 101"

Claude: [Runs the skill, outputs status report]

User: "Send a reminder to students missing Quiz 3"

Claude: [Uses send_conversation to message identified students]

Notes

  • With anonymization enabled, student names appear as Student_xxxxxxxx
  • Keep local mapping file to correlate anonymous IDs with real students
  • This skill works best when run weekly (Monday mornings)
  • Pairs well with /week-plan for students

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.47%
按下载量换算129

Claude

28.77%
按下载量换算99

Cursor

19.07%
按下载量换算66

Gemini CLI

9.78%
按下载量换算34

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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